Real-Time ECG Beat Detection by using Adaptive Threshold with MATLAB HDL Coder


Real-Time ECG Beat Detection by using Adaptive Threshold with MATLAB HDL Coder

Chit Ko Ko Win, Nang Mwe Seng

Chit Ko Ko Win, Nang Mwe Seng "Real-Time ECG Beat Detection by using Adaptive Threshold with MATLAB HDL Coder" Published in International Journal of Trend in Research and Development (IJTRD), ISSN: 2394-9333, Volume-5 | Issue-5 , October 2018, URL: http://www.ijtrd.com/papers/IJTRD18058.pdf

The ECG beat detection is the essential process in the ECG analysis. By detecting its position, we can learn the physiological information of the subjects, e.g. heart rate. In this paper, we propose an FPGA oriented real-time ECG beat detection with MATLAB HDL Coder/Verifier. The detection algorithm is based on Pan-Tompkins algorithm. MATLAB HDL Coder/Verifier is used to convert floating point algorithm to fixed point algorithm and generate Verilog Hardware Description Language (Verilog HDL). The testing results show that the proposed architecture can achieve an efficient detection performance where the average detection accuracy exceeds 98.57%. The performance of algorithm tested against MATLAB routine and validated results based on the MIT-BIH arrhythmia database.

ECG, QRS Complex, Pan-Tompkins, HDL Coder, MIT-BIH


Volume-5 | Issue-5 , October 2018

2394-9333

IJTRD18058